Preliminary Thoughts/Goal: Using R to conduct statistical analysis, I will analyze and compare trends in how much certain populations approve of or like other populations. I am specifically focusing on relationships in religious and Atheist populations by using data gathered about feelings towards Christians, Atheists, and Christian Fundamentalists. (Were you unable to recall the function for calculating standard deviation? It's "sd(variablename)") (Also, I like how you break this into sections and headings, but I'm not crazy about centered paragraphs!)
How do christians feel about atheists? There is a negative correlation between likeness between Christians and Atheists Correlation: -0.2255886 Based on this negative correlation, as people feel more warm towards Christians, they are less warm towards Atheists.However, this trend is disrupted and some levels of extreme appear around the x range value of 80 - 100. Strangely, the linear relationship spikes. We see that, at about 90, where people really like both Atheists and Christians, they approve of both; however, immediately following this mutual likeness, there is a steep disapproval rating amongst the two. (This is best seen through the scatterplot)
There is also a negative correlation between Christian Fundamentalists and Atheists, though slightly less steep: -0.1495257Here we see a similar relationship as above, however less extreme and without any "spikes" that are as marked as above. We can observe that, the more people like Christian Fundamentalists, the less they like Atheists, and vice versa.
Comparing boxplots doesn't make a lot of sense for two continuous quantitative variables. In fact, it's only possible because ratings tend to cluster around certain whole numbers, i.e. respondents make the variable somewhat discrete in this way.) Solid job here! Maybe just double check that sd() function, and make sure you understand that, namely, the idea of dispersion in a distribution.
Preliminary Thoughts/Goal:
Using R to conduct statistical analysis, I will analyze and compare trends in how much certain populations approve of or like other populations. I am specifically focusing on relationships in religious and Atheist populations by using data gathered about feelings towards Christians, Atheists, and Christian Fundamentalists.
(Were you unable to recall the function for calculating standard deviation? It's "sd(variablename)")
(Also, I like how you break this into sections and headings, but I'm not crazy about centered paragraphs!)
How do christians feel about atheists?
There is a negative correlation between likeness between Christians and Atheists Correlation:
-0.2255886
Based on this negative correlation, as people feel more warm towards Christians, they are less warm towards Atheists.However, this trend is disrupted and some levels of extreme appear around the x range value of 80 - 100. Strangely, the linear relationship spikes. We see that, at about 90, where people really like both Atheists and Christians, they approve of both; however, immediately following this mutual likeness, there is a steep disapproval rating amongst the two. (This is best seen through the scatterplot)
There is also a negative correlation between Christian Fundamentalists and Atheists, though slightly less steep:
-0.1495257Here we see a similar relationship as above, however less extreme and without any "spikes" that are as marked as above. We can observe that, the more people like Christian Fundamentalists, the less they like Atheists, and vice versa.
Solid job here! Maybe just double check that sd() function, and make sure you understand that, namely, the idea of dispersion in a distribution.
Link to script: